cyclone_detection- Object Detection Dataset and Pre-Trained Model by shekhar

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Here are a few use cases for this project:

Emergency Preparedness and Response: Cyclone_detection- can be utilized by emergency management agencies to identify and monitor potential cyclone formations. By automating the detection process in satellite imagery, they can quickly assess the severity of the storm class and take appropriate action to evacuate residents, prepare infrastructure, and mobilize resources.
Weather Forecasting: Meteorological departments can use the cyclone_detection- model to improve the accuracy of weather forecasts by incorporating real-time cyclone identification into their predictions. This would allow them to provide better warnings and advisories to the public, reducing the impact of severe weather events on communities.
Insurance Industry: Insurance companies can use the cyclone_detection- model to assess property risk in regions prone to cyclones. They can thereby provide more accurate premiums and underwrite policies accordingly. Additionally, the model can help insurance companies validate claims by comparing satellite images from affected areas before and after a cyclone.
Climate Change Research: Scientists can use the cyclone_detection- model to study the long-term trends of cyclone activity, their frequency, and intensity in the context of global climate change. They can further analyze whether these trends correlate with observed changes in sea surface temperatures or ocean currents.
Infrastructure Planning and Development: Government agencies and urban planners can use the cyclone_detection- model to better understand the risk of cyclone activity in coastal regions. This information can, in turn, be used to guide strategic planning for infrastructure, housing, and transportation projects, ensuring that they are prepared for potential climate hazards.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

YOLOv5

This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, state-of-the-art real-time object detection model.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            cyclone_detection_dataset,
                            title = { cyclone_detection- Dataset },
                            type = { Open Source Dataset },
                            author = { shekhar },
                            howpublished = { \url{ https://universe.roboflow.com/shekhar-v2dar/cyclone_detection } },
                            url = { https://universe.roboflow.com/shekhar-v2dar/cyclone_detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-06-28 },
                            }